From signal-based to comprehensive magnetic resonance imaging

Abstract We present and evaluate a new insight into magnetic resonance imaging (MRI). It is based on the algebraic description of the magnetization during the transient response—including intrinsic magnetic resonance parameters such as longitudinal and transverse relaxation times (T1, T2) and proton...

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Autores principales: Gyula Kotek, Laura Nunez-Gonzalez, Mika W. Vogel, Gabriel P. Krestin, Dirk H. J. Poot, Juan A. Hernandez-Tamames
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/c086dc06a7cc40b4bf150b5477bf160d
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spelling oai:doaj.org-article:c086dc06a7cc40b4bf150b5477bf160d2021-12-02T16:35:05ZFrom signal-based to comprehensive magnetic resonance imaging10.1038/s41598-021-96791-w2045-2322https://doaj.org/article/c086dc06a7cc40b4bf150b5477bf160d2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-96791-whttps://doaj.org/toc/2045-2322Abstract We present and evaluate a new insight into magnetic resonance imaging (MRI). It is based on the algebraic description of the magnetization during the transient response—including intrinsic magnetic resonance parameters such as longitudinal and transverse relaxation times (T1, T2) and proton density (PD) and experimental conditions such as radiofrequency field (B1) and constant/homogeneous magnetic field (B0) from associated scanners. We exploit the correspondence among three different elements: the signal evolution as a result of a repetitive sequence of blocks of radiofrequency excitation pulses and encoding gradients, the continuous Bloch equations and the mathematical description of a sequence as a linear system. This approach simultaneously provides, in a single measurement, all quantitative parameters of interest as well as associated system imperfections. Finally, we demonstrate the in-vivo applicability of the new concept on a clinical MRI scanner.Gyula KotekLaura Nunez-GonzalezMika W. VogelGabriel P. KrestinDirk H. J. PootJuan A. Hernandez-TamamesNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Gyula Kotek
Laura Nunez-Gonzalez
Mika W. Vogel
Gabriel P. Krestin
Dirk H. J. Poot
Juan A. Hernandez-Tamames
From signal-based to comprehensive magnetic resonance imaging
description Abstract We present and evaluate a new insight into magnetic resonance imaging (MRI). It is based on the algebraic description of the magnetization during the transient response—including intrinsic magnetic resonance parameters such as longitudinal and transverse relaxation times (T1, T2) and proton density (PD) and experimental conditions such as radiofrequency field (B1) and constant/homogeneous magnetic field (B0) from associated scanners. We exploit the correspondence among three different elements: the signal evolution as a result of a repetitive sequence of blocks of radiofrequency excitation pulses and encoding gradients, the continuous Bloch equations and the mathematical description of a sequence as a linear system. This approach simultaneously provides, in a single measurement, all quantitative parameters of interest as well as associated system imperfections. Finally, we demonstrate the in-vivo applicability of the new concept on a clinical MRI scanner.
format article
author Gyula Kotek
Laura Nunez-Gonzalez
Mika W. Vogel
Gabriel P. Krestin
Dirk H. J. Poot
Juan A. Hernandez-Tamames
author_facet Gyula Kotek
Laura Nunez-Gonzalez
Mika W. Vogel
Gabriel P. Krestin
Dirk H. J. Poot
Juan A. Hernandez-Tamames
author_sort Gyula Kotek
title From signal-based to comprehensive magnetic resonance imaging
title_short From signal-based to comprehensive magnetic resonance imaging
title_full From signal-based to comprehensive magnetic resonance imaging
title_fullStr From signal-based to comprehensive magnetic resonance imaging
title_full_unstemmed From signal-based to comprehensive magnetic resonance imaging
title_sort from signal-based to comprehensive magnetic resonance imaging
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/c086dc06a7cc40b4bf150b5477bf160d
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AT lauranunezgonzalez fromsignalbasedtocomprehensivemagneticresonanceimaging
AT mikawvogel fromsignalbasedtocomprehensivemagneticresonanceimaging
AT gabrielpkrestin fromsignalbasedtocomprehensivemagneticresonanceimaging
AT dirkhjpoot fromsignalbasedtocomprehensivemagneticresonanceimaging
AT juanahernandeztamames fromsignalbasedtocomprehensivemagneticresonanceimaging
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